{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:27:23.343032Z",
     "iopub.status.busy": "2024-11-29T14:27:23.341640Z",
     "iopub.status.idle": "2024-11-29T14:27:23.358056Z",
     "shell.execute_reply": "2024-11-29T14:27:23.357055Z",
     "shell.execute_reply.started": "2024-11-29T14:27:23.343032Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "matplotlib.rcParams['font.family'] = 'Microsoft YaHei'\n",
    "matplotlib.rcParams['font.size'] = 12  # 可以设置字体大小"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 案例1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:27:34.646513Z",
     "iopub.status.busy": "2024-11-29T14:27:34.645504Z",
     "iopub.status.idle": "2024-11-29T14:27:34.664854Z",
     "shell.execute_reply": "2024-11-29T14:27:34.663852Z",
     "shell.execute_reply.started": "2024-11-29T14:27:34.646513Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# # github中加载远程的数据集\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:28:58.208869Z",
     "iopub.status.busy": "2024-11-29T14:28:58.208869Z",
     "iopub.status.idle": "2024-11-29T14:28:58.217108Z",
     "shell.execute_reply": "2024-11-29T14:28:58.216333Z",
     "shell.execute_reply.started": "2024-11-29T14:28:58.208869Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 244 entries, 0 to 243\n",
      "Data columns (total 7 columns):\n",
      " #   Column      Non-Null Count  Dtype   \n",
      "---  ------      --------------  -----   \n",
      " 0   total_bill  244 non-null    float64 \n",
      " 1   tip         244 non-null    float64 \n",
      " 2   sex         244 non-null    category\n",
      " 3   smoker      244 non-null    category\n",
      " 4   day         244 non-null    category\n",
      " 5   time        244 non-null    category\n",
      " 6   size        244 non-null    int64   \n",
      "dtypes: category(4), float64(2), int64(1)\n",
      "memory usage: 7.4 KB\n"
     ]
    }
   ],
   "source": [
    "tips.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:29:40.932775Z",
     "iopub.status.busy": "2024-11-29T14:29:40.932775Z",
     "iopub.status.idle": "2024-11-29T14:29:41.007987Z",
     "shell.execute_reply": "2024-11-29T14:29:41.006985Z",
     "shell.execute_reply.started": "2024-11-29T14:29:40.932775Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 如果是相关性,则建议采用散点图\n",
    "plt.scatter(tips['total_bill'],tips['tip'])\n",
    "# 对x,y输入标题\n",
    "plt.xlabel('消费金额')\n",
    "plt.ylabel('小费金额')\n",
    "# 所有可视化都需要调用show函数\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:30:27.287398Z",
     "iopub.status.busy": "2024-11-29T14:30:27.286398Z",
     "iopub.status.idle": "2024-11-29T14:30:27.373927Z",
     "shell.execute_reply": "2024-11-29T14:30:27.373927Z",
     "shell.execute_reply.started": "2024-11-29T14:30:27.287398Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#性别与小费的相关性可视化\n",
    "male_mean = tips[tips['sex'] == 'Male']['tip'].mean()\n",
    "female_mean = tips[tips['sex'] == 'Female']['tip'].mean()\n",
    "# 采用bar柱状图显示金额\n",
    "plt.bar(['male','female'],[male_mean,female_mean],width=0.5,color='#ff0000')\n",
    "plt.title('bar柱状图可视化案例')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:31:47.133032Z",
     "iopub.status.busy": "2024-11-29T14:31:47.133032Z",
     "iopub.status.idle": "2024-11-29T14:31:47.293767Z",
     "shell.execute_reply": "2024-11-29T14:31:47.292758Z",
     "shell.execute_reply.started": "2024-11-29T14:31:47.133032Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "day\n",
      "Thur    1096.33\n",
      "Fri      325.88\n",
      "Sat     1778.40\n",
      "Sun     1627.16\n",
      "Name: total_bill, dtype: float64 <class 'pandas.core.series.Series'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\98614\\AppData\\Local\\Temp\\ipykernel_10472\\3253340254.py:2: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  ss = tips.groupby(by='day')['total_bill'].sum()\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 采用分组的方式，实现就餐日期与消费金额的关联性\n",
    "ss = tips.groupby(by='day')['total_bill'].sum()\n",
    "print(ss,type(ss))\n",
    "# 可视化中Series可以和可视化组件进行无缝转化\n",
    "plt.bar(ss.index,ss.values,color='#00ff00')\n",
    "plt.title('就餐日期与消费的柱状图')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:51:51.659750Z",
     "iopub.status.busy": "2024-11-29T14:51:51.659750Z",
     "iopub.status.idle": "2024-11-29T14:51:51.727573Z",
     "shell.execute_reply": "2024-11-29T14:51:51.726569Z",
     "shell.execute_reply.started": "2024-11-29T14:51:51.659750Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time\n",
      "Dinner    176\n",
      "Lunch      68\n",
      "Name: count, dtype: int64 <class 'pandas.core.series.Series'>\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# value_counts(必须作用于某列)：对某一列进行分组然后求和\n",
    "time = tips['time'].value_counts()\n",
    "print(time,type(time))\n",
    "# 创建饼图\n",
    "plt.pie(labels=time.index,x=time.values,autopct='%4.2f%%')\n",
    "plt.title('就餐类别与次数的饼状图')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:52:44.064152Z",
     "iopub.status.busy": "2024-11-29T14:52:44.064152Z",
     "iopub.status.idle": "2024-11-29T14:52:44.076546Z",
     "shell.execute_reply": "2024-11-29T14:52:44.076546Z",
     "shell.execute_reply.started": "2024-11-29T14:52:44.064152Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "      <th>percent_tip</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "      <td>0.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "      <td>0.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "      <td>0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "      <td>0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "      <td>0.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size  percent_tip\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2         0.06\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3         0.14\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3         0.14\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2         0.12\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4         0.13\n",
       "..          ...   ...     ...    ...   ...     ...   ...          ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3         0.17\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2         0.07\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2         0.08\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2         0.09\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2         0.14\n",
       "\n",
       "[244 rows x 8 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips['percent_tip'] = round(tips['tip']/(tips['total_bill']+tips['tip']),2)\n",
    "tips"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:37:04.221143Z",
     "iopub.status.busy": "2024-11-29T14:37:04.220122Z",
     "iopub.status.idle": "2024-11-29T14:37:04.238699Z",
     "shell.execute_reply": "2024-11-29T14:37:04.237695Z",
     "shell.execute_reply.started": "2024-11-29T14:37:04.221143Z"
    }
   },
   "source": [
    "# 案例二"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:40:35.663214Z",
     "iopub.status.busy": "2024-11-29T14:40:35.663214Z",
     "iopub.status.idle": "2024-11-29T14:40:35.803057Z",
     "shell.execute_reply": "2024-11-29T14:40:35.801745Z",
     "shell.execute_reply.started": "2024-11-29T14:40:35.663214Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------- 年份与GDP的折线图 --------------------\n",
      "[975 481 345 397 725 552 921 471 443 585]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('-' * 20, '年份与GDP的折线图', '-' * 20)\n",
    "years = [str(year) + \"年\" for year in range(2010, 2020)]\n",
    "# print(years)\n",
    "gdp = np.random.randint(300, 1000, size=10)\n",
    "plt.figure(figsize=(10,6))\n",
    "print(gdp)\n",
    "plt.plot(years, gdp, color=\"green\", marker='*',linestyle='--')\n",
    "# plt.plot(years, gdp, 'r--*')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:46:51.676742Z",
     "iopub.status.busy": "2024-11-29T14:46:51.676742Z",
     "iopub.status.idle": "2024-11-29T14:46:51.741806Z",
     "shell.execute_reply": "2024-11-29T14:46:51.740426Z",
     "shell.execute_reply.started": "2024-11-29T14:46:51.676742Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = {\n",
    "    '南京': (60, '#7199cf'),\n",
    "    '上海': (45, '#4fc4aa'),\n",
    "    '北京': (120, '#ffff10'),\n",
    "}\n",
    "# 设置绘图片的信息\n",
    "cities = data.keys()\n",
    "values = [x[0] for x in data.values()]\n",
    "colors = [x[1] for x in data.values()]\n",
    "plt.pie(x=values, explode=[0.2, 0.05, 0.05], labels=data.keys(), colors=colors, autopct='%4.2f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:46:59.767477Z",
     "iopub.status.busy": "2024-11-29T14:46:59.767477Z",
     "iopub.status.idle": "2024-11-29T14:46:59.872134Z",
     "shell.execute_reply": "2024-11-29T14:46:59.871630Z",
     "shell.execute_reply.started": "2024-11-29T14:46:59.767477Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------- 层叠柱状图的可视化操作 --------------------\n",
      "[20 36 40 27 22] [28 33 28 48 24]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('-' * 20, '层叠柱状图的可视化操作', '-' * 20)\n",
    "data1 = np.random.randint(20, 50, size=5)\n",
    "data2 = np.random.randint(20, 50, size=5)\n",
    "# 模拟x轴的坐标值\n",
    "x = np.arange(1, 6)\n",
    "print(data1, data2)\n",
    "plt.bar(x, data1, label='A')\n",
    "plt.bar(x, data2, bottom=data1, label='B')\n",
    "# label要显示则调用此方法\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-29T14:49:17.464761Z",
     "iopub.status.busy": "2024-11-29T14:49:17.464761Z",
     "iopub.status.idle": "2024-11-29T14:49:17.585727Z",
     "shell.execute_reply": "2024-11-29T14:49:17.584613Z",
     "shell.execute_reply.started": "2024-11-29T14:49:17.464761Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------- 层叠柱状图的可视化操作2 --------------------\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('-' * 20, '层叠柱状图的可视化操作2', '-' * 20)\n",
    "data1 = np.random.randint(20, 50, size=5)\n",
    "\n",
    "for a, b in zip(x, data1):\n",
    "    plt.text(a-0.15, b + 0.5, b, ha='center', fontsize=12)\n",
    "\n",
    "data2 = np.random.randint(20, 50, size=5)\n",
    "\n",
    "for a, b in zip(x, data2):\n",
    "    plt.text(a + 0.15, b + 0.5, b, ha='center', fontsize=12)\n",
    "\n",
    "x = np.arange(1, 6)\n",
    "plt.bar(x-0.15, data1, width=0.3, label='A')\n",
    "plt.bar(x + 0.15, data2, width=0.3, label='B')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.20"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
